Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing

Dr. Shrikaant Kulkarni is an adjunct professor in the Science and Technology Department, Vishwakarma University, Pune, India.Dr. P. William is the Dean of Research and Development and an assistant professor in the Department of Information Technology, Sanjivani College of Engineering, Savitribai Phule Pune University, India.Dr. Vijaya Prakash is a professor at the Department of Computer Science and Engineering, SR University, Warangal, India.Dr. Jaiprakash Narain Dwivedi is an associate professor at the IT Department, Parul Institute of Engineering and Technology, Faculty of Engineering and Technology, Parul University, India.

• I. Harnessing the Potential of AI in Cloud Computing 1. Working Towards a Comprehensive Approach for Ensuring Security and Privacy in Artificial Intelligence 2. Knowledge Modelling and the Significance of Ontology in Educational Domain II. Using AI to the Advantage of Fog Computing 3. Security and Privacy Analysis Using AI-Based Machine Learning Methods 4. Security and Privacy in Advanced AI 5. Evolution of Artificial Intelligence: Research Topics, Trends, and Future Directions III. Leveraging the Potential of AI in Edge Computing 6. Edge AI Vis-Vis Cloud Computing 7. An Intelligent Fault Predictive System in the Industrial Internet of Things that Uses Condition Monitoring IV. Advancing AI in Mobile Computing 8. Plantae: Mobile Interface for Plant Leaf Disease Detection and Prevention System 9. Captureshield: A Deep Dive into Screenshot Security 10. Edge-Cloud Computing for Data Analytics: Embedding Intelligence with Deep Learning 11. Algorithms for Machine Learning in Big Data Analytics V. Case Studies and Applications of AI in Computing 12. Machine Learning Algorithms and Sustainable AI-Driven IoT Systems: Paving the Way towards Environmental Stewardship 13. Elevating Education: Exploring Chatbots and Their Significance in the Academic Realm 14. Green Energy Management for Smart Homes that Leverages Big Data Analytics and IoT 15. Collaborative Computing of Big Data and Internet of Things Applications in Smart Environments 16. A Systematic and Analytical Review on Drowsiness Detection System-Based Real-Time Application